Jin Li

13 papers A* 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNs.
Neural Networks
Li Yu, Qirong Zhang, Jin Li, Xinlong Chen, Yang-Geng Fu
2026 J jnl
Feature space variation-based active learning sample query strategy for graph deep learning.
Expert Syst. Appl.
Xinlong Chen, Mingyu Lin, Yuzhuo Wang, Jin Li, Feiyang Ye, Yang-Geng Fu
2026 J jnl
UniTrain: A universal iterative semi-supervised training framework for graph representation learning.
Neural Networks
Xinlong Chen, Jin Li, Yisong Huang, Jianzhi Zhuang, Chenjunhao Shi, Zuhao Xu, Yang-Geng Fu
2025 J jnl
Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs.
IEEE Trans. Neural Networks Learn. Syst.
Jin Li, Qirong Zhang, Wenxi Liu, Antoni B. Chan, Yang-Geng Fu
2025 J jnl
Enhanced Graph Transformer: Multi-scale attention with Heterophilous Curriculum Augmentation.
Knowl. Based Syst.
Jianzhi Zhuang, Jin Li, Chenjunhao Shi, Xinyi Lin, Yang-Geng Fu
2025 J jnl
GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing.
Neural Networks
Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, Xi Yao, Ziyang Huang, Ying-Ming Wang
2024 A* conf
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs.
AAAI
Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
2024 J jnl
DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.
Neural Networks
Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu
2024 — conf
HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective.
ICIC (LNAI 2)
Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu
2024 A* conf
Training Graph Transformers via Curriculum-Enhanced Attention Distillation.
ICLR
Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu
2023 J jnl
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs.
CoRR
Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
2023 — conf
Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization.
ECML/PKDD (2)
Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu
2023 J jnl
Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation.
Parallel Process. Lett.
Jin Li, Yisong Huang, Xinlong Chen, Yang-Geng Fu